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Introduction: Construction sites exhibit unique hazardous characteristics. Hence, investigating the causes of fatal and nonfatal accidents is extremely important to promote safety on construction sites. Literature shows a risk perception (RP) scale for construction workers; to expand the existing research, this study aims to identify risky scenarios for assessing the RP of Thai construction workers, with the goal of reducing workplace incidents. Method: The scale development process consists of four phases. Item development was also performed, followed by factor analysis. Reliability and validity assessments were finalized in the process. A survey of 500 construction workers in Thailand was conducted to investigate risky scenarios. Through the process, a total of 17 items remained in the final RP scale, and the reliability and validity of these items were confirmed. Results: The RP scale was affirmed to have four dimensions (probability, severity, worry, and unsafe). These dimensions of workers’ RP were negatively correlated with the workers’ risk-taking behaviors. This study further showed that participants with a high level of affective RP were more likely to have a high level of cognitive RP. Hence, those with a high level of RP tended to be involved in fewer risk-taking behaviors. Practical Applications: The final version of the scale was reliable and valid in determining the RP and risk-taking behaviors of construction workers in Thailand.
Samsiya Khaday; Kai Way Li; Siu Shing Man; Alan Hoi Shou Chan. Risky scenario identification in a risk perception scale for construction workers in Thailand. Journal of Safety Research 2021, 78, 105 -114.
AMA StyleSamsiya Khaday, Kai Way Li, Siu Shing Man, Alan Hoi Shou Chan. Risky scenario identification in a risk perception scale for construction workers in Thailand. Journal of Safety Research. 2021; 78 ():105-114.
Chicago/Turabian StyleSamsiya Khaday; Kai Way Li; Siu Shing Man; Alan Hoi Shou Chan. 2021. "Risky scenario identification in a risk perception scale for construction workers in Thailand." Journal of Safety Research 78, no. : 105-114.
Truck-related accidents account for a substantial portion of traffic accidents. Risky driving behavior is a main cause of traffic accidents. Understanding the risky driving behavior of truck drivers is therefore important in reducing truck-related accidents. This study aimed to propose and validate a research model that integrated a theory of planned behavior, sensation seeking, and risk perception to explain the risky driving behavior of truck drivers. A total of 471 valid data were collected from Chinese truck drivers in this study. Structural equation modeling and mediation analysis were used to examine the influence of factors in the research model on the risky driving behavior of truck drivers. Results showed that sensation seeking and risk perception of truck drivers were influential in shaping their intention to drive riskily with the mediation of attitude toward risky driving. Risk perception and attitude toward risky driving also had a negative influence and positive influence on the intention, respectively. On the basis of the findings, practical recommendations for reducing the risky driving behavior of truck drivers were provided for concerned parties.
Zhenming Li; Siu Man; Alan Chan; Jianfang Zhu. Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers. Sustainability 2021, 13, 5214 .
AMA StyleZhenming Li, Siu Man, Alan Chan, Jianfang Zhu. Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers. Sustainability. 2021; 13 (9):5214.
Chicago/Turabian StyleZhenming Li; Siu Man; Alan Chan; Jianfang Zhu. 2021. "Integration of Theory of Planned Behavior, Sensation Seeking, and Risk Perception to Explain the Risky Driving Behavior of Truck Drivers." Sustainability 13, no. 9: 5214.
Most construction fatalities are attributable to falls from height, which are originally caused by the non-use of personal protective equipment (PPE). Accordingly, this study aimed to present a research model that integrates the technology acceptance model, safety management practices (including safety-offence points system, safety supervision and safety training) and safety consciousness to explain the PPE acceptance by construction workers. Structural equation modelling and mediation analysis were conducted to investigate the influence of these constructs on the PPE acceptance. Results indicated that the safety management practices were influential in shaping attitude towards using PPE with the mediation of safety consciousness, perceived usefulness (PU) and perceived ease of use (PEOU). PU and PEOU were crucial determinants of the PPE acceptance by construction workers. Following these findings, practical implications for enhancing the use of PPE of construction workers were offered for construction management, PPE designers and concerned parties.
Tom Ka Man Wong; Siu Shing Man; Alan Hoi Shou Chan. Exploring the acceptance of PPE by construction workers: An extension of the technology acceptance model with safety management practices and safety consciousness. Safety Science 2021, 139, 105239 .
AMA StyleTom Ka Man Wong, Siu Shing Man, Alan Hoi Shou Chan. Exploring the acceptance of PPE by construction workers: An extension of the technology acceptance model with safety management practices and safety consciousness. Safety Science. 2021; 139 ():105239.
Chicago/Turabian StyleTom Ka Man Wong; Siu Shing Man; Alan Hoi Shou Chan. 2021. "Exploring the acceptance of PPE by construction workers: An extension of the technology acceptance model with safety management practices and safety consciousness." Safety Science 139, no. : 105239.
This study used a qualitative approach to explore the attitudes and experiences of construction workers towards the use of personal protective equipment (PPE) and examine the underlying reasons why construction workers use or avoid the use of PPE at work. Sixty face-to-face individual interviews with Hong Kong construction workers were conducted to collect qualitative data. Data were analysed using a three-stage coding approach to develop a grounded theory model. The grounded theory model proposes that the use and non-use of PPE amongst construction workers are affected by factors in personal, technological and environmental contexts. These factors include accident experience, attitude towards using PPE, habituation, risk perception, safety consciousness, safety knowledge, outcome expectations, perceived ease of use, perceived usefulness, social influence, safety management system (e.g. safety incentives, safety–offence points system, safety rules, safety supervision and safety training), time pressure and workplace conditions (i.e. PPE availability and workplace limitation). Some practical recommendations for increasing the use of PPE amongst construction workers are discussed on the basis of the findings of this study.
Tom Ka Man Wong; Siu Shing Man; Alan Hoi Shou Chan. Critical factors for the use or non-use of personal protective equipment amongst construction workers. Safety Science 2020, 126, 104663 .
AMA StyleTom Ka Man Wong, Siu Shing Man, Alan Hoi Shou Chan. Critical factors for the use or non-use of personal protective equipment amongst construction workers. Safety Science. 2020; 126 ():104663.
Chicago/Turabian StyleTom Ka Man Wong; Siu Shing Man; Alan Hoi Shou Chan. 2020. "Critical factors for the use or non-use of personal protective equipment amongst construction workers." Safety Science 126, no. : 104663.
Introduction: The construction sector is leading in the number of accidents and fatalities; risk perception is the key to driving these numbers. Previous construction safety studies on risk perception quantification have not considered affective risk perception of construction workers or conducted comprehensive reliability and validity testing. Thus, this study aims to fill this need by developing a psychometrically sound instrument – the Construction Worker Risk Perception (CoWoRP) Scale – to assess the risk perception of construction workers. Method: Four phases of scale development, namely, item development, factor analysis, reliability assessment, and validity assessment were conducted with the collection and testing of data from a group (n = 469) of voluntary construction workers in Hong Kong. Results: The CoWoRP Scale with 13 items was shown to have acceptable test–retest reliability, internal consistency reliability, as well as content, convergent, discriminant, and criterion-related validity. Also, the CoWoRP Scale was affirmed to have three dimensions of worker risk perception, namely risk perception – probability, risk perception – severity, risk perception – worry and unsafe. These three dimensions of worker risk perception were negatively correlated with their risk-taking behavior. Conclusions: The CoWoRP Scale is a reliable and valid instrument for measuring the risk perception of construction workers and is expected to facilitate the construction safety studies that take risk perception of construction workers into account. Practical applications: The CoWoRP Scale could serve as an aptitude test to identify the characteristics of construction workers most likely to perceive lower risk in risky work situations. In turn, this information could help safety management provide safety training programs to those workers to enhance their risk perception and thereby minimizing their risk-taking behavior, reducing unnecessary training costs, and improving the construction safety performance.
Siu Shing Man; Alan Hoi Shou Chan; Saad Alabdulkarim. Quantification of risk perception: Development and validation of the construction worker risk perception (CoWoRP) scale. Journal of Safety Research 2019, 71, 25 -39.
AMA StyleSiu Shing Man, Alan Hoi Shou Chan, Saad Alabdulkarim. Quantification of risk perception: Development and validation of the construction worker risk perception (CoWoRP) scale. Journal of Safety Research. 2019; 71 ():25-39.
Chicago/Turabian StyleSiu Shing Man; Alan Hoi Shou Chan; Saad Alabdulkarim. 2019. "Quantification of risk perception: Development and validation of the construction worker risk perception (CoWoRP) scale." Journal of Safety Research 71, no. : 25-39.
Behavioral-based safety is an important application of behavioral science that can be used to address safety problems in the construction sector. An understanding of construction worker risk-taking behavior is deemed to be a crucial basis on which concerned authorities and construction companies can develop effective safety interventions to reduce construction accidents. However, no studies have been conducted to examine the effects of safety climate, work condition, attitude toward risk, cognitive bias, and risk perception on construction worker risk-taking behavior through a quantitative approach. Accordingly, this study aims to propose a research model that explains construction worker risk-taking behavior. A total of 188 valid datasets were obtained through a series of questionnaire surveys conducted in representative construction projects in Hong Kong. Confirmatory factor analysis with structural equation modeling was adopted to validate the hypothesized research model. Results show that attitudes toward risk and cognitive bias have a positive influence, whereas risk perception and work conditions have a negative influence on construction worker risk-taking behavior. In addition, safety climate was negatively correlated with construction worker risk-taking behavior. Practical recommendations for reducing construction worker risk-taking behavior are also discussed in this paper.
Banus Kam Leung Low; Siu Shing Man; Alan Hoi Shou Chan; Saad Alabdulkarim; Low; Man; Chan. Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors. International Journal of Environmental Research and Public Health 2019, 16, 1335 .
AMA StyleBanus Kam Leung Low, Siu Shing Man, Alan Hoi Shou Chan, Saad Alabdulkarim, Low, Man, Chan. Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors. International Journal of Environmental Research and Public Health. 2019; 16 (8):1335.
Chicago/Turabian StyleBanus Kam Leung Low; Siu Shing Man; Alan Hoi Shou Chan; Saad Alabdulkarim; Low; Man; Chan. 2019. "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors." International Journal of Environmental Research and Public Health 16, no. 8: 1335.
High accident rates have been a complicated and persistent problem in the Hong Kong construction industry. This situation has stimulated this investigation into factors that influence the risk-taking propensity of construction workers. However, interviewing workers who had a bad experience is problematic because changes in attitude and perception may occur as a result of such an experience. Using quasi-expert interviews can reduce this problem. The objective of this study was to identify factors that influence the risk-taking propensity of construction workers. Semi-structured interviews were conducted with 16 safety professionals all with accident inspection experience and six super-safe workers with no incident record for the past five years. Seven factors that affect the risk-taking propensity of construction workers were successfully identified. Each factor is thoughtfully discussed, and this study shows that quasi-expert interview is a pragmatic approach for deepening the understanding of risk-taking propensity among construction workers. Findings of this study will hopefully help and encourage further quantitative research on the risk-taking propensity of construction workers with different perspectives.
Banus Kam Leung Low; Siu Shing Man; Alan Hoi Shou Chan. The Risk-Taking Propensity of Construction Workers—An Application of Quasi-Expert Interview. International Journal of Environmental Research and Public Health 2018, 15, 2250 .
AMA StyleBanus Kam Leung Low, Siu Shing Man, Alan Hoi Shou Chan. The Risk-Taking Propensity of Construction Workers—An Application of Quasi-Expert Interview. International Journal of Environmental Research and Public Health. 2018; 15 (10):2250.
Chicago/Turabian StyleBanus Kam Leung Low; Siu Shing Man; Alan Hoi Shou Chan. 2018. "The Risk-Taking Propensity of Construction Workers—An Application of Quasi-Expert Interview." International Journal of Environmental Research and Public Health 15, no. 10: 2250.